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Volume 14, Issue 9, Pages (March 2016)

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1 Volume 14, Issue 9, Pages 2142-2153 (March 2016)
Gut Microbiome of Coexisting BaAka Pygmies and Bantu Reflects Gradients of Traditional Subsistence Patterns  Andres Gomez, Klara J. Petrzelkova, Michael B. Burns, Carl J. Yeoman, Katherine R. Amato, Klara Vlckova, David Modry, Angelique Todd, Carolyn A. Jost Robinson, Melissa J. Remis, Manolito G. Torralba, Elise Morton, Juan D. Umaña, Franck Carbonero, H. Rex Gaskins, Karen E. Nelson, Brenda A. Wilson, Rebecca M. Stumpf, Bryan A. White, Steven R. Leigh, Ran Blekhman  Cell Reports  Volume 14, Issue 9, Pages (March 2016) DOI: /j.celrep Copyright © 2016 The Authors Terms and Conditions

2 Cell Reports 2016 14, 2142-2153DOI: (10.1016/j.celrep.2016.02.013)
Copyright © 2016 The Authors Terms and Conditions

3 Figure 1 Lifestyle Patterns of the BaAka and Bantu in the Dzanga Sector, Central African Republic (A) BaAka family in their traditional village hut. (B) Gozo, bitter manioc root (top) and Koko leaves (bottom) (Gnetum africanum) in peanut sauce, two staple foods in the BaAka diet. (C) BaAka adult women and children prepare to process a blue duiker (Philantomba monticola) after a net hunt. (D) Traditional Bantu village. (E and F) Bantu market at which agricultural products are sold. Cell Reports  , DOI: ( /j.celrep ) Copyright © 2016 The Authors Terms and Conditions

4 Figure 2 Gut Microbiome Composition of the BaAka and Bantu
(A) Relative abundance of taxa at phyla level shows sharp shifts in the Firmicutes: Bacteroidetes ratios between the two groups. The boxplots show specific differences in the relative abundance of discriminant phyla between the BaAka and Bantu gut microbiomes (indicator values >0.5 and Wilcoxon rank-sum tests, FDR-adjusted Q < 0.05; Table S1). (B) Principal coordinate analyses based on unweighted (left) and weighted (right) UniFrac distances between gut bacterial communities (relative abundance of taxa clustered at 97% 16S rRNA sequence similarity) of the BaAka and Bantu. (C) Fold changes of the main discriminant genera between the two groups (indicator value > 0.5, Wilcoxon rank-sum tests, FDR-adjusted Q < 0.05; Table S1). Family taxa names represent those of unclassified genera. See also Figures S1 and S2 and Table S1. Cell Reports  , DOI: ( /j.celrep ) Copyright © 2016 The Authors Terms and Conditions

5 Figure 3 Comparison of the BaAka and Bantu Gut Microbiome Relative to that of US Americans (A and B) Principal coordinate analyses based on unweighted UniFrac distances (A) and average distance differences among groups (B). Bar plots labeled with different letters (a, b, and c) denote UniFrac distances between and within groups (BaAka, Bantu, and US Americans) are significantly different (Kruskal-Wallis tests, FDR-adjusted Q < 0.05). (C and D) Principal coordinate analyses based on weighted Unifrac distances (C) and average distance differences among groups (D). See also Figures S3 and S4 and Table S2. Cell Reports  , DOI: ( /j.celrep ) Copyright © 2016 The Authors Terms and Conditions

6 Figure 4 Features Characterizing the Gut Microbiome of the BaAka, Bantu, and US Americans (A) Phylogenetic diversity comparisons. (B) Correspondence analysis (CA) showing indicator genera driving gut microbiome differences between the three groups. The distance between vectors (arrows) and the symbols (circles, squares, and diamonds) that represent each taxon gives an estimate of the taxon’s relative abundance in a given sample. (C) Boxplots showing differences in the relative abundance of some indicator genera driving gut microbiome differences among the BaAka, Bantu, and US Americans. Boxplots labeled with different letters (a, b, and c) denote taxa abundances are significantly different between groups (Kruskal-Wallis tests, FDR-adjusted Q < 0.05). Family taxa names represent those of unclassified genera. See also Figures S3 and S4. Cell Reports  , DOI: ( /j.celrep ) Copyright © 2016 The Authors Terms and Conditions

7 Figure 5 Gut Metabolome Composition in the BaAka and Metabolite-Microbiome Interaction Networks (A) Relative abundance of metabolites according to broad classifications (upper) and dominant metabolites (lower). (B) Sub-network view of interactions between bacterial taxa (at the genus level) and metabolites (nodes). Edges represent Spearman correlation coefficients (0.5 < rho < 0.94). Node size is proportional to the betweenness centrality of the node, which is an indirect measure of functional relevance of a node in a network and its capacity to hold together communicating nodes. Nodes with the highest betweenness centrality values are also highlighted with increasing red tones. The two networks highlight the nodes with the highest betweenness centrality (Paraprevotellacaeae and 2-oxobutanoic acid) and their direct interactions with other taxa and metabolites. The full network is described in Figure S5, and network statistics are available in Table S3. Family and order taxa names represent those of unclassified genera. See also Figure S5 and Table S3. Cell Reports  , DOI: ( /j.celrep ) Copyright © 2016 The Authors Terms and Conditions


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